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Title: Programming Abstractions for Data Locality

Technical Report ·
DOI:https://doi.org/10.2172/1172915· OSTI ID:1172915
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  1. Cray, Inc., Seattle, WA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  3. Univ. of Passau (Germany)
  4. INRIA, Cedex (France)
  5. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  6. Intel, Santa Clara, CA (United States)
  7. Univ. of Illinois, Urbana-Champaign, IL (United States)
  8. Koc Univ., Istanbul (Turkey)
  9. Univ. of Erlangen, Nuremberg (Germany)
  10. ETH Zurich (Switzerland)
  11. King Abdullah University of Science and Technology, Thuwal (Saudi Arabia)
  12. IBM, Yorktown Heights, NY (United States)
  13. Barcelona Supercomputing Center (Spain)
  14. Ludwig Maximilian Univ., Munich (Germany)
  15. Max Planck Inst. for Meteorology, Hamburg(Germany)
  16. Royal Institute of Technology, Stockholm (Switzerland)
  17. Swiss National Supercomputing Center, Lugano (Switzerland)
  18. Chalmers Univ. of Technology, Goteborg (Sweden)
  19. Brookhaven National Lab. (BNL), Upton, NY (United States). RIKEN Research Center
  20. Imperial College, London (United Kingdom)
  21. Nvidia, Santa Clara, CA (United States)
  22. Argonne National Lab. (ANL), Argonne, IL (United States)
  23. Tokyo Inst. of Technology (Japan)

The goal of the workshop and this report is to identify common themes and standardize concepts for locality-preserving abstractions for exascale programming models.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1172915
Report Number(s):
SAND2014-19896R; 542995
Country of Publication:
United States
Language:
English

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